Google Cloud Presales AI Engineer

Company
Description
Job Summary: We are seeking a talented Google Cloud Presales AI Engineer to design innovative cloud-based AI solutions that address complex business challenges. Key Highlights: 1. Design innovative cloud-based AI solutions 2. Work with cutting-edge AI and cloud adoption technologies 3. Collaborate with cross-functional teams - Devoteam is a leading European consultancy specializing in digital strategy, technology platforms, cybersecurity, and technology-driven business transformation. Technology is part of our DNA, and we believe it serves as a lever capable of driving positive change—maintaining a balance that allows us to deliver top-tier technological tools to our client portfolio, while always offering the proximity and professionalism of a team acting as a trusted guide throughout the journey. For over 30 years, Devoteam has been committed to placing technology at the service of people. We have more than 11,000 employees across the group, operating in 25 countries across Europe, the Middle East, and Africa. We are looking for a talented Google Cloud Presales AI Engineer to join our team. In this role, you will serve as the trusted technical expert and advisor for clients evaluating Google Cloud’s AI and machine learning solutions. You will combine deep technical expertise with exceptional communication skills to design innovative cloud-based AI solutions that address complex business challenges. This position offers you the opportunity to work at the intersection of cutting-edge AI technology and enterprise cloud adoption, helping organizations transform their operations through intelligent automation and data-driven insights. * Analyze customer requirements and technical environments to design customized Google Cloud AI and machine learning solutions \- Develop and deliver compelling technical presentations, demonstrations, and proof-of-concept projects to prospective customers \- Collaborate with sales teams to identify opportunities, qualify prospects, and support the full sales cycle—from initial discovery through contract closure * Design scalable AI solutions leveraging Google Cloud services, including Vertex AI, BigQuery, and other relevant platforms. \- Deliver technical workshops and training sessions to educate customers on AI/machine learning capabilities and best practices. \- Stay current on emerging AI technologies, Google Cloud product updates, and industry trends to provide well-informed recommendations. * Produce detailed technical documentation, solution summaries, and implementation roadmaps for customer stakeholders \- Collaborate with Google Cloud product teams and customer success departments to ensure successful solution implementation \- Identify and escalate technical risks or implementation challenges to the appropriate teams * Minimum 3\-4 years of experience in cloud architecture, solutions engineering, or presales roles. * Proven experience with Google Cloud Platform (GCP) and its AI/ML services. * Strong understanding of machine learning concepts, algorithms, and practical applications. * Proficiency in at least one programming language (Python, Java, or similar). * Excellent technical communication and presentation skills, with the ability to explain complex concepts to non-technical audiences. * Experience designing and architecting cloud-based solutions for enterprise customers. * Knowledge of data engineering, data analytics, and AI/ML workflows. * Demonstrated ability to collaborate with cross-functional teams, including sales, product, and customer success. * Strong analytical and problem-solving skills, with attention to detail. Preferred Qualifications: * Google Cloud professional certifications (Cloud Architect, Cloud Data Engineer, or AI/ML specialization) * Experience with Vertex AI, BigQuery, TensorFlow, or other Google Cloud AI tools. * Domain experience in specific industries such as financial services, healthcare, retail, or manufacturing. * Experience with solution-selling methodologies and customer engagement models.
Posted by

David Muñoz
Indeed · HR



